Atlassian MCP

Connect Atlassian to your AI agents using the Model Context Protocol (MCP), enabling seamless integration with atlassian.com's services through standardized interfaces.

  • atlassian.com

    Search Jira Issues

    Search for issues in Jira based on specific criteria
    jira
    issue
    search
  • atlassian.com

    Create Jira Issue

    Create a new issue in Jira
    jira
    issue
    create
  • atlassian.com

    Fetch Jira Issue

    Fetch details of a specific issue in Jira
    jira
    issue
    fetch
  • atlassian.com

    List Jira Issue Comments

    List comments of a specific issue in Jira
    jira
    issue
    comment
    list
  • atlassian.com

    Create Jira Issue Comment

    Create a new comment on a specific issue in Jira
    jira
    issue
    comment
    create
  • atlassian.com

    Search Jira

    Search for issues and other information in Jira using JQL
    search
    beta
  • atlassian.com

    Search Confluence Content

    Search for content in Confluence based on specific criteria
    confluence
    page
    search
  • atlassian.com

    Fetch Confluence Page

    Fetch details of a specific page in Confluence
    confluence
    page
    fetch
  • atlassian.com

    Search Confluence

    Search for content in Confluence using CQL
    search
    beta
  • atlassian.com

    Search Atlassian Users

    Search for users in Atlassian products based on specific criteria
    atlassian
    user
    search
  • What is Atlassian MCP?

    The Model Context Protocol (MCP) is an open standard that provides a unified way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every service, MCP provides a standardized interface that allows AI models to discover available tools, understand their capabilities, and execute them safely and securely.

    With Atlassian MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Atlassian's available capabilities through the MCP server
    • Standardized integration: Use a consistent protocol instead of learning platform-specific APIs
    • Real-time capabilities: Tools are loaded and executed on-demand during conversations
    • Secure execution: Maintain proper authentication and isolation through ChatBotKit's MCP implementation
    • No custom coding: Leverage Atlassian's functionality without writing integration code

    How Atlassian MCP Works

    ChatBotKit's MCP action provides a powerful way to dynamically extend your AI agent's capabilities by loading tools from Atlassian's MCP server.

    Connect to MCP Server

    ChatBotKit establishes a connection to Atlassian API endpoints, initiating secure communication.

    Discover Available Tools

    The system automatically discovers all available Atlassian tools and their schemas through the MCP protocol.

    Load Tool Definitions

    Tool definitions are loaded into your conversation context, making them available to your AI agent.

    Execute Securely

    Your AI uses these tools as if they were native abilities, with secure execution and proper authentication.